This repository provides Python notebooks implementing machine learning assignments from a university course taught by Hung-yi Lee at National Taiwan University. It includes implementations of core ML algorithms including regression, classification, convolutional neural networks, self-attention mechanisms, transformers, generative adversarial networks, BERT, and autoencoders. The materials are organized as homework exercises with accompanying slides and lecture video references.